[NeurIPS 2021] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"

Last update: Dec 24, 2022

Related tags

Overview

IP-IRM

[NeurIPS 2021] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature". Codes will be released recently.

If you find our codes helpful, please cite our paper:

@inproceedings{wang2021self,
  title={Self-Supervised Learning Disentangled Group Representation as Feature},
  author={Wang, Tan and Yue, Zhongqi and Huang, Jianqiang and Sun, Qianru and Zhang, Hanwang},
  booktitle={Conference and Workshop on Neural Information Processing Systems (NeurIPS)},
  year={2021}
}

Owner

Wang Tan

Ph.D. student of MreaL Lab, NTU

GitHub Repository

Code for ICCV 2021 paper Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes using Scene Graphs

Graph-to-3D This is the official implementation of the paper Graph-to-3d: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs | arx

33 Jan 06, 2023

LowRankModels.jl is a julia package for modeling and fitting generalized low rank models.

LowRankModels.jl LowRankModels.jl is a Julia package for modeling and fitting generalized low rank models (GLRMs). GLRMs model a data array by a low r

183 Dec 17, 2022

This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations,

labml.ai Deep Learning Paper Implementations This is a collection of simple PyTorch implementations of neural networks and related algorithms. These i

16.4k Jan 09, 2023

Framework for joint representation learning, evaluation through multimodal registration and comparison with image translation based approaches

CoMIR: Contrastive Multimodal Image Representation for Registration Framework 🖼 Registration of images in different modalities with Deep Learning 🤖

55 Dec 09, 2022

[NeurIPS 2021] The PyTorch implementation of paper "Self-Supervised Learning Disentangled Group Representation as Feature"

Related tags

Overview

IP-IRM

Owner

Wang Tan

Code for ICCV 2021 paper Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes using Scene Graphs

LowRankModels.jl is a julia package for modeling and fitting generalized low rank models.

This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations,

Framework for joint representation learning, evaluation through multimodal registration and comparison with image translation based approaches

Extending JAX with custom C++ and CUDA code

Aggragrating Nested Transformer Official Jax Implementation

(AAAI 2021) Progressive One-shot Human Parsing

Implementation of H-UCRL Algorithm

Official PyTorch implementation of PS-KD

Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On

Convnet transfer - Code for paper How transferable are features in deep neural networks?

Material related to the Principles of Cloud Computing course.

Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval (NeurIPS'21)

This is the implementation of the paper LiST: Lite Self-training Makes Efficient Few-shot Learners.

ICRA 2021 - Robust Place Recognition using an Imaging Lidar

Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Distributed Evolutionary Algorithms in Python

Implementation of Convolutional enhanced image Transformer